{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simulate Data for Feature Importance\n",
    "This notebook will simulate some data using a synthetic network generated with `NetSim` in order to investigate methods for feature extraction/interpretation. Especially LRP should be interesting to look at."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sasse/.local/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import networkx as nx\n",
    "import numpy as np\n",
    "import h5py\n",
    "np.set_printoptions(precision=1, suppress=True)\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# params\n",
    "test_ratio = .3\n",
    "pos_distr = (25, 5) # mean and variance\n",
    "neg_distr = (5, 2) # mean and variance\n",
    "num_features = 24\n",
    "important_dims = [3, 4, 7, 21]\n",
    "n_outside_nodes_with_pos_distro = 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Network and Insert Positions from Disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1053 2275\n"
     ]
    }
   ],
   "source": [
    "# read the network and insert positions\n",
    "network = nx.read_edgelist('../data/simulation/network.edgelist')\n",
    "insert_positions = []\n",
    "with open('../data/simulation/implant_positions.txt', 'r') as f:\n",
    "    for line in f.readlines():\n",
    "        if line.startswith('#'): # comment\n",
    "            pass\n",
    "        elif line.startswith('Subnetwork'):\n",
    "            positions = line.split(':')[1].strip().split('\\t')\n",
    "            insert_positions.append([int(i) for i in positions])\n",
    "print (network.number_of_nodes(), network.number_of_edges())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Assign Feature Vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "num_nodes = network.number_of_nodes()\n",
    "all_clique_nodes = np.array(insert_positions).reshape(-1)\n",
    "# first, get everyone a sample from the negative distro\n",
    "features = np.random.normal(loc=neg_distr[0], scale=np.sqrt(neg_distr[1]),\n",
    "                            size=(num_nodes, num_features))\n",
    "# now, change that for the clique members\n",
    "features_motifs = features[all_clique_nodes]\n",
    "features_motifs[:, important_dims] = np.random.normal(loc=pos_distr[0],\n",
    "                                                      scale=np.sqrt(pos_distr[1]),\n",
    "                                                      size=(all_clique_nodes.shape[0],\n",
    "                                                            len(important_dims))\n",
    "                                                     )\n",
    "features[all_clique_nodes] = features_motifs\n",
    "\n",
    "# get some other nodes that have higher features in these dimensions, too\n",
    "not_clique_mems = np.array([i for i in np.arange(num_nodes) if not i in all_clique_nodes])\n",
    "pos_distro_nodes = np.random.choice(a=not_clique_mems, size=n_outside_nodes_with_pos_distro)\n",
    "x = features[pos_distro_nodes]\n",
    "x[:, important_dims] = np.random.normal(loc=pos_distr[0], scale=np.sqrt(pos_distr[1]),\n",
    "                                        size=(pos_distro_nodes.shape[0], len(important_dims))\n",
    "                                       )\n",
    "features[pos_distro_nodes] = x\n",
    "\n",
    "features[features < 0] = 0 # no negative gene expression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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uqQ2p77vncaEGAECSAm4gbWoZa2TyjyCDrAUHO6yJikwwGPT1+KkXhBiVAGvSgkyMCzUA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\nolpUPUM3Wlryuhyj4IPMnj1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X16eXXn5FgWn1cmeMrAglhB74sjzj5G0DjE2bNskJBDVh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XtobghHWpTQdguc/YLnnvu2ZrUxEUTug3gRGavVkrLXeTpWrVqFwWjAm0AGgbcJDEaDJoQSwl7Y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\nQRAEQRBmHP8PutDDCfglBgAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9e83160438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14, 8))\n",
    "features_df = pd.DataFrame(features)\n",
    "seaborn.violinplot(data=features)\n",
    "fig.savefig('../data/simulation/prob_distro_LRP_featurewise.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iqlpbVUsGu47JUxc6ODTJ9YOlry9N8q7W2sbFEt6T5LNJbsvQiJCV3gAAgEmzxXt+WmvH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\nAADogvADAAB0QfgBAAC68P8DS4GKZv/9MDgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9e7d850e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14, 8))\n",
    "bins = np.linspace(features.min(), features.max(), 100)\n",
    "_ = plt.hist(features[not_clique_mems].reshape(-1), bins=bins, label='Not in Cliques', normed=False, alpha=.7)\n",
    "_ = plt.hist(features[all_clique_nodes].reshape(-1), bins=bins, label='In Cliques', normed=False, alpha=.7)\n",
    "_ = plt.legend()\n",
    "fig.savefig('../data/simulation/prob_distro_LRP.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1053,) 190\n"
     ]
    }
   ],
   "source": [
    "y = np.array([1 if i in all_clique_nodes else 0 for i in np.arange(num_nodes)])\n",
    "print (y.shape, y.sum())\n",
    "train_nodes, test_nodes = train_test_split(np.arange(num_nodes), test_size=test_ratio, stratify=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import collections\n",
    "collections.Counter(np.arange(num_nodes)[y == 1]) == collections.Counter(all_clique_nodes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[i for i in train_nodes if i in test_nodes] # no overlap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# define masks as all train/test nodes\n",
    "train_mask = np.zeros_like(y)\n",
    "test_mask = np.zeros_like(y)\n",
    "train_mask[train_nodes] = 1\n",
    "test_mask[test_nodes] = 1\n",
    "\n",
    "# define labels as all the labels that are also in train/test mask\n",
    "y_train = np.logical_and(train_mask, y)\n",
    "y_test = np.logical_and(test_mask, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f9e7908b160>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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r9xyPEwAAAFgfow4/VbVbktcnmdNam5FkiyTHJHlXknNba7+f5EdJ5nebzE/y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\nAADQC8IPAADQC8IPAADQC/8/ZLmdHfuB0/kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9e768620f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14, 8))\n",
    "bins = np.linspace(features.min(), features.max(), 100)\n",
    "_ = plt.hist(features[np.logical_and(y_train == 0, train_mask)].reshape(-1), bins=bins,\n",
    "             label='Negative Nodes', normed=False, alpha=.7)\n",
    "_ = plt.hist(features[np.logical_and(y_train == 1, train_mask)].reshape(-1), bins=bins,\n",
    "             label='Positive Nodes', normed=False, alpha=.7)\n",
    "_ = plt.legend()\n",
    "plt.title('Training Features Distribution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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q0UAspe7BRKWHAgAAgFEIPJg1uvqyDQuWVlGFR5KOZj8eAACAqkXgwazR0ReT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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9e7689ed30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14, 8))\n",
    "bins = np.linspace(features.min(), features.max(), 100)\n",
    "_ = seaborn.distplot(features[np.logical_and(y_test == 0, test_mask)].reshape(-1), bins=bins,\n",
    "             label='Negative Nodes')\n",
    "_ = seaborn.distplot(features[np.logical_and(y_test == 1, test_mask)].reshape(-1), bins=bins,\n",
    "             label='Positive Nodes')\n",
    "_ = plt.legend()\n",
    "plt.title('Test Features Distribution')\n",
    "fig.savefig('../data/simulation/prob_distro_LRP.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Write to HDF5 container"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[   0,    0],\n",
       "       [   1,    1],\n",
       "       [   2,    2],\n",
       "       ...,\n",
       "       [1050, 1050],\n",
       "       [1051, 1051],\n",
       "       [1052, 1052]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "node_names = np.arange(num_nodes)\n",
    "node_names = np.vstack([node_names, node_names]).transpose(1, 0) # just stack node numbers\n",
    "node_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y_train = y_train.reshape(num_nodes, 1)\n",
    "y_test = y_test.reshape(num_nodes, 1)\n",
    "\n",
    "network_np = nx.to_numpy_matrix(network, nodelist=[str(i[0]) for i in node_names])\n",
    "node_names = np.arange(num_nodes)\n",
    "node_names = np.vstack([node_names, node_names]).transpose(1, 0) # just stack node numbers\n",
    "\n",
    "f = h5py.File('../data/simulation/simulated_LRP.h5', 'w')\n",
    "f.create_dataset('network', data=network_np, shape=network_np.shape)\n",
    "f.create_dataset('features', data=features, shape=features.shape)\n",
    "f.create_dataset('gene_names', data=node_names, shape=node_names.shape)\n",
    "\n",
    "f.create_dataset('y_train', data=y_train, shape=y_train.shape)\n",
    "f.create_dataset('y_test', data=y_test, shape=y_test.shape)\n",
    "f.create_dataset('mask_train', data=train_mask, shape=train_mask.shape)\n",
    "f.create_dataset('mask_test', data=test_mask, shape=test_mask.shape)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make sure that Data is Correct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7faffd9d82e8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kLaFU8SVtklNNPT0kpeaKPwcAAICyKGVJm6y1T0l6atG9zy748weKvPcbkr6x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\nmLT+P08ztltjdicqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7faffda01c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "network_recon = nx.from_numpy_matrix(nx.to_numpy_matrix(network,\n",
    "                                                        nodelist=[str(i[0]) for i in node_names]))\n",
    "list_of_cliques = np.array([i for i in list(nx.find_cliques(network)) if len(i) >= 5],\n",
    "                           dtype=np.int64).flatten()\n",
    "fig = plt.figure(figsize=(14, 8))\n",
    "mask = np.zeros(features.shape[0])\n",
    "mask[list_of_cliques] = 1\n",
    "mask = mask.astype(np.bool)\n",
    "#mask = np.logical_or(y_train, y_test)\n",
    "df_f = pd.DataFrame(features)\n",
    "seaborn.distplot(df_f[mask].values.flatten(), norm_hist=False, label='Positive')\n",
    "seaborn.distplot(df_f[~mask].values.flatten(), norm_hist=False, label='Negative')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fafe9a1acc0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8/H4/Xq+Xv//974wbNy6s8+zevZudO3fSvn176tevH9Znh5thGAwePJjBgwdH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\n3LjRb86srCwiIyNp1qxZwPRSi8XCwIED/Y57PB7Wrl3Lb7/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x46hWrRr9+vXDZDIVWDcI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fBPUt+9PYwhuT+tZk2luHLwfrFDUhAAAArKZPf/rTWbRoUZYt6y9hyrJMR0dHjj766PT19Q1f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\n5Pe///2A8ZaWlvzf//1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3DiGEEEIIIYS4XTkcDmbOnMmgQYP49NNPOX36dGGHJHJJkkE5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m3LKLJCsqfCntngygDlr2+4aw0Q3A1qylG30lDQY2KSDBLFYvHixURGRpKRkYGiKBiNRipU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\nsrJSx48f7/DnAAAAAJBmx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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7faff11f1710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "fig = plt.figure(figsize=(20, 20))\n",
    "\n",
    "plt.subplot(2, 1, 1)\n",
    "F_train = features[train_mask == 1]\n",
    "emb = PCA(n_components=2).fit_transform(F_train)\n",
    "plt.scatter(emb[:, 0], emb[:, 1], c=y_train[train_mask == 1], cmap=plt.cm.copper)\n",
    "\n",
    "plt.subplot(2, 1, 2)\n",
    "F_test = features[test_mask == 1]\n",
    "emb = PCA(n_components=2).fit_transform(F_test)\n",
    "plt.scatter(emb[:, 0], emb[:, 1], c=y_test[test_mask == 1], cmap=plt.cm.copper)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fafe9a37cf8>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QREAZevLJJ9V1/Lgmlt0mBcMzf4FgWOPLblPX8eN68skn535AAACABYIgAspMX1+fvvnN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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb0001f9c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame(features)\n",
    "df[y == 1].mean().mean(), df[y == 1].var().mean()\n",
    "df[y == 0].mean().mean(), df[y == 0].var().mean()\n",
    "df['degree'] = network_np.sum(axis=1)\n",
    "df['label'] = y\n",
    "\n",
    "# get betweenness\n",
    "bet = nx.betweenness_centrality(network)\n",
    "df['betweenness'] = 0\n",
    "for k, v in bet.items():\n",
    "    df.loc[int(k), 'betweenness'] = v\n",
    "\n",
    "# get core number\n",
    "core = nx.core_number(network)\n",
    "df['core'] = 0\n",
    "for k, v in core.items():\n",
    "    df.loc[int(k), 'core'] = v\n",
    "\n",
    "# plot\n",
    "fig = plt.figure(figsize=(14, 8))\n",
    "seaborn.violinplot(x='label', y='core', data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
